DocumentCode :
3130811
Title :
A feature-based neural wavelet optical character recognition system
Author :
Iftekharuddin, K.M. ; Jemili, K. ; Karim, M.A.
Author_Institution :
BDM Federal, Kettering, UK
Volume :
2
fYear :
1995
fDate :
22-26 May 1995
Firstpage :
621
Abstract :
A hybrid character recognition system is studied using feature extraction method. The features are extracted using wavelet transform, pre-classified using a k-nearest neighbor-based neural net and subsequently post-processed using an optical correlator
Keywords :
data compression; feature extraction; image classification; image coding; image matching; matched filters; multilayer perceptrons; neural net architecture; optical character recognition; optical correlation; optical neural nets; spatial filters; spatial light modulators; wavelet transforms; adaptive classifier; amplitude-modulated phase-only filter; feature extraction method; hybrid character recognition system; image compression; k-nearest neighbor-based neural net; matched filter; multilayer optical processor; neural wavelet architecture; optical character recognition system; optical correlator postprocessor; parallel operation capability; wavelet decomposition; wavelet preprocessor; wavelet transform; Character recognition; Feature extraction; Holographic optical components; Holography; Matched filters; Neural networks; Optical character recognition software; Optical filters; Pattern recognition; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National
Conference_Location :
Dayton, OH
ISSN :
0547-3578
Print_ISBN :
0-7803-2666-0
Type :
conf
DOI :
10.1109/NAECON.1995.522002
Filename :
522002
Link To Document :
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